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Salesforce Salesforce-MuleSoft-Developer-I Exam Syllabus Topics:

TopicDetails
Topic 1
  • Creating Application Networks: The topic of creating Application Networks encompasses understanding MuleSoft’s proposal for closing the IT delivery gap and describing the role and characteristics of the modern API. It also includes the purpose and roles of a Center for Enablement (C4E), and the benefits of API-led.
Topic 2
  • Deploying and Managing APIs and Integrations: It includes packaging Mule applications for deployment and deploying them to CloudHub. This topic also involves using CloudHub properties, creating and deploying API proxies, connecting an API implementation to API Manager, and applying policies to secure an API.
Topic 3
  • Structuring Mule Applications: Structuring Mule applications covers parameterizing an application and defining and reusing global configurations. It includes breaking an application into multiple flows using private flows, subflows, and the Flow Reference component.
Topic 4
  • Handling Errors: Handling errors includes describing default error handling in Mule applications and defining custom global default error handlers. It involves comparing On Error Continue and On Error Propagate scopes, creating error handlers for a flow, using the Try scope, and mapping errors to custom application errors.
Topic 5
  • Building API Implementation Interfaces: This topic involves manually creating a RESTful interface for a Mule application and generating a REST Connector from a RAML specification. It also includes describing the features and benefits of APIkit.
Topic 6
  • Debugging and Troubleshooting Mule Applications: Using breakpoints to inspect a Mule event during runtime, installing missing Maven dependencies, and reading and deciphering Mule log error messages are sub-topics of this topic.
Topic 7
  • Using Connectors: It focuses on retrieving data from REST services using HTTP Request or REST Connector. Moreover, the topic covers using a Web Service Consumer connector for SOAP web services and the Transform Message component.
Topic 8
  • Transforming Data with DataWeave: It involves writing DataWeave scripts and using DataWeave functions. This topic also includes defining and using DataWeave variables, functions, and modules, and applying correct syntax.
Topic 9
  • Routing Events: It focuses on using the Choice router for conditional logic and the Scatter-Gather router to multicast events. This topic also involves validating data by using the Validation module.
Topic 10
  • Processing Records: Processing records includes methods for processing individual records in a collection and explaining how Mule events are processed by the For Each scope. It also involves using the Batch Job with Batch Steps and a Batch Aggregator.
Topic 11
  • Accessing and Modifying Mule Events: It describes the Mule event data structure. Moreover, the topic focuses on usage of transformers and enriching Mule events.

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Salesforce Certified MuleSoft Developer (Mule-Dev-201) Sample Questions (Q226-Q231):

NEW QUESTION # 226
A Utlility.dwl is located in a Mule project at src/main/resources/modules. The Utility.dwl file defines a function named encryptString that encrypts a String What is the correct DataWeave to call the encryptString function in a Transform Message component?

Answer: D

Explanation:
Correct answer is
%dw 2.0
output application/json
import modules::Utility
---
Utility::encryptString( "John Smith" )
DataWeave 2.0 functions are packaged in modules. Before you begin, note that DataWeave 2.0 is for Mule 4 apps. For Mule 3 apps, refer to DataWeave Operators in the Mule 3.9 documentation. For other Mule versions, you can use the version selector for the Mule Runtime table of contents.
Functions in the Core (dw::Core) module are imported automatically into your DataWeave scripts. To use other modules, you need to import the module or functions you want to use by adding the import directive to the head of your DataWeave script, for example:
import dw::core::Strings
import camelize, capitalize from dw::core::Strings
import * from dw::core::Strings
The way you import a module impacts the way you need to call its functions from a DataWeave script. If the directive does not list specific functions to import or use * from to import all functions from a function module, you need to specify the module when you call the function from your script. For example, this import directive does not identify any functions to import from the String module, so it calls the pluralize function like this: Strings::pluralize("box").
Transform
%dw 2.0
import dw::core::Strings
output application/json
---
{ 'plural': Strings::pluralize("box") }


NEW QUESTION # 227
Refer to exhibits.

In the execution of the Scatter-Gather , the flow route completes after 10 seconds and the flow2 route completes in 40 seconds. How many seconds does it take for the Scatter-Gather to complete?

Answer: B

Explanation:
Scatter-Gather sends the event to each routes concurrently. Hence both route in this example will start in parallel. So total time to complete processing is 40 seconds The Scatter-Gather component is a routing event processor thatprocesses a Mule event through different parallel processing routes that contain different event processors. Each route receives a reference to the Mule event and executes a sequence of one or more event processors. Each of these routes uses a separate thread to execute the event processors, and the resulting Mule event can be either the same Mule event without modifications or a new Mule event with its own payload, attributes, and variables. The Scatter-Gather component then combines the Mule events returned by each processing route into a new Mule event that is passed to the next event processor only after every route completes successfully.
The Scatter-Gather component executes each route in parallel, not sequentially. Parallel execution of routes can greatly increase the efficiency of your Mule application and may provide more information than sequential processing.
Mule Ref Doc : https://docs.mulesoft.com/mule-runtime/4.3/scatter-gather-concept


NEW QUESTION # 228
Refer to the exhibits.

The main flow contains a Flow Reference to the child flow.
A web client sends a GET request to the main flow's HTTP Listener that includes a make query parameter.
What values are accessible in the child flow?

Answer: C


NEW QUESTION # 229
Refer to the exhibits.

How many private flows does APIKIt generate from RAML specification?

Answer: B

Explanation:
APIKIt Creates a separate flow for each HTTP method. Hence 4 private flows would be generated.
MuleSoft Documentation Referrence :https://docs.mulesoft.com/mule-runtime/4.3/build-application-from-api


NEW QUESTION # 230
Refer to the exhibits.

A Mule application has an HTTP Request that is configured with hardcoded values. To change this, the Mule application is configured to use a properties file named config.yaml.
what valid expression can the HTTP Request host value be set to so that it is no longer hardcoded?

Answer: D

Explanation:
Correct answer is ${training.host}
---------------------------------------------------------------------------------------------------------------------------------------- How to Configure Properties to Mule 4.X Platform?
1) Go to /src/main/resources project directory.
2) Create aconfiguration file with the name configuration.yaml inside the newly created config folder.
Graphical user interface, application, Word Description automatically generated

3) Go To Project > Global Element > Create > General >select the configuration.yaml file create in step- 2) Graphical user interface, application Description automatically generated

4) To verify develop a simple flow with HTTP listener which has above entries. Put the logger that prints the values on console.
Graphical user interface, application Description automatically generated

5) Additional info: Similarly, when you want to access this port in DataWeave you need to use p function Graphical user interface, text, application, email Description automatically

generated


NEW QUESTION # 231
......

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